Effects of Hydrogen Peroxide on Cyanobacterium <i>Microcystis aeruginosa</i> in the Presence of Nanoplastics
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Hydrogen peroxide (H2O2) is a common control measure for cyanobacterial harmful algal blooms (cyanoHABs), but local contaminants may alter its effects. Here, we aim to understand the control of cyanoHABs by H2O2 in light of nanoplastic contamination using a multistressor framework. We utilized a high-throughput full-factorial experiment to capture the multistressor impacts of H2O2, nanoplastics, temperature, and light on a toxigenic strain of the freshwater cyanobacterium Microcystis aeruginosa. In addition to revealing independent inhibitory effects of H2O2 and nanoplastics on cell abundance and microcystin production, our high-throughput system also identified non-additive, interactive effects. Specifically, we found that nanoplastics weakened the inhibitory effects of H2O2 on cell abundance and microcystin production. In addition, we discovered that nanoplastics restricted the degradation of H2O2, partially explaining this non-additive effect. Because combined H2O2 and nanoplastic still curbed growth, we expect H2O2 will remain an effective control measure even with background nanoplastic pollution. Our findings illustrate the importance of taking local stressors, including anthropogenic contaminants such as nanoplastics, into account before H2O2 is applied to control cyanoHABs.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it